Prediction out-of-sample using block shrinkage estimators: model selection and predictive inference

Hannes Leeb, Nina Senitschnig

In a linear regression model with random design, we consider a family of candidate models from which we want to select a `good' model for prediction out-of-sample. We fit the model…